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WTW

Global risk management, insurance brokerage, consulting

AI Business Analyst

Business AnalysisConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A degree in Business, Technology, Engineering, Data, Mathematics, or a related discipline, or equivalent practical experience.
  • At least 3 years of experience in business analysis, data analysis, process automation, technical operations, or AI workflow development.
  • Proven experience gathering, analyzing, and documenting complex business requirements and turning them into working solutions.
  • A good understanding of how Generative AI, large language models, and AI agents work, including their strengths, limitations, and risks.
  • Hands-on experience with Python, SQL, or another scripting language to analyze or transform data.
  • Strong Excel skills and practical experience cleaning and reconciling messy datasets.
  • Experience with process mapping, user stories, acceptance criteria, and backlog management.
  • Experience working within Agile delivery environments.
  • Appreciation of system dependencies, integrations, and operational impacts.
  • Strong stakeholder management skills, with the ability to influence and challenge constructively.
  • Excellent written and spoken English is mandatory, with the ability to explain technical ideas in plain language.

Responsibilities

  • Partner with stakeholders to understand business objectives, processes, pain points, and opportunities.
  • Facilitate discovery sessions and workshops to gather, analyze, and challenge business requirements.
  • Assess with the Tech Lead whether a problem is best solved with Generative AI, AI agents, low-code automation, or process change.
  • Define the business problem, expected outcomes, and success measures before solutions move into delivery.
  • Secure a named business owner for each use case and work with them to define test cases and what a correct output looks like.
  • Translate business needs into clear, development-ready user stories, acceptance criteria, and process flows.
  • Map business processes and rules so engineers can turn them into reusable agent skills.
  • Define AI-specific requirements such as data sources, expected outputs, quality thresholds, human review steps, and evaluation criteria.
  • Analyze and prepare the data solutions rely on, from sources such as Excel, databases, and Microsoft Fabric.
  • Maintain a prioritized backlog and support Agile delivery through refinement, sprint planning, reviews, and retrospectives.
  • Identify dependencies, operational impacts, risks, and Responsible AI considerations that may affect implementation.
  • Lead business testing, validation, and readiness.
  • Track delivered solutions against agreed outcomes and share lessons learned across the CoE.

Desired Qualifications

  • Experience with low-code automation tools such as Power Automate, Power Apps, or Copilot Studio, or programming.
  • Exposure to Microsoft Foundry, Microsoft Fabric or Fabric IQ, Power BI, or Microsoft Copilot.
  • Knowledge of retirement, pensions, actuarial work, or financial services.
  • Business analysis certification such as IIBA or BCS, or Agile certification.

About the Company

WTW

Global risk management, insurance brokerage, consulting

Willis Towers Watson provides risk management, advisory, and brokerage services to organizations worldwide. Its two segments are Risk & Broking, which identifies, quantifies, and places insurance coverage, and Health, Wealth & Career, which offers consulting, technology, and administration for health benefits, retirement plans, and talent programs. The company blends advisory services, technology platforms, and brokerage capabilities to deliver integrated risk and people solutions rather than relying on a single service line. Its goal is to help clients turn risk into a path for growth by aligning risk management with health, retirement, and talent strategies to support organizational success.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1828

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